Latest AI/ML Infrastructure Use Cases

Private Large Language Models are hosted within an organization’s own computing environment. They offer advantages in terms of managing data privacy compared to the inadvertent Read More

While the global spend on artificial intelligence (AI) and machine learning (ML) was $50 billion in 2020 and is expected to increase to $110 billion Read More

Federated learning is the most efficient technology out there that can help data scientists to build high-quality machine learning models in industries where data is Read More

MLOps practices (Machine Learning Operations Practices) include the culmination of people, processes, practices, and underpinning technologies that automate deploymentDeployment in software development refers to the Read More

Extracting valuable insights out of data collected from machine sensors can be hard, often requiring analyzing data from many sensors in parallel. Due to the Read More

Federated Learning (FL) is catching traction and it is now being used in several commercial applications and services. For example, Google uses it for mobile Read More

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